Statistical Methods for Astronomical Data Analysis

Nonfiction, Science & Nature, Mathematics, Statistics, Science, Physics, Astrophysics & Space Science
Cover of the book Statistical Methods for Astronomical Data Analysis by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Asis Kumar Chattopadhyay, Tanuka Chattopadhyay ISBN: 9781493915071
Publisher: Springer New York Publication: October 1, 2014
Imprint: Springer Language: English
Author: Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
ISBN: 9781493915071
Publisher: Springer New York
Publication: October 1, 2014
Imprint: Springer
Language: English

This book introduces “Astrostatistics” as a subject in its own right with rewarding examples, including work by the authors with galaxy and Gamma Ray Burst data to engage the reader. This includes a comprehensive blending of Astrophysics and Statistics. The first chapter’s coverage of preliminary concepts and terminologies for astronomical phenomenon will appeal to both Statistics and Astrophysics readers as helpful context. Statistics concepts covered in the book provide a methodological framework. A unique feature is the inclusion of different possible sources of astronomical data, as well as software packages for converting the raw data into appropriate forms for data analysis. Readers can then use the appropriate statistical packages for their particular data analysis needs. The ideas of statistical inference discussed in the book help readers determine how to apply statistical tests. The authors cover different applications of statistical techniques already developed or specifically introduced for astronomical problems, including regression techniques, along with their usefulness for data set problems related to size and dimension. Analysis of missing data is an important part of the book because of its significance for work with astronomical data. Both existing and new techniques related to dimension reduction and clustering are illustrated through examples. There is detailed coverage of applications useful for classification, discrimination, data mining and time series analysis. Later chapters explain simulation techniques useful for the development of physical models where it is difficult or impossible to collect data. Finally, coverage of the many R programs for techniques discussed makes this book a fantastic practical reference. Readers may apply what they learn directly to their data sets in addition to the data sets included by the authors.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book introduces “Astrostatistics” as a subject in its own right with rewarding examples, including work by the authors with galaxy and Gamma Ray Burst data to engage the reader. This includes a comprehensive blending of Astrophysics and Statistics. The first chapter’s coverage of preliminary concepts and terminologies for astronomical phenomenon will appeal to both Statistics and Astrophysics readers as helpful context. Statistics concepts covered in the book provide a methodological framework. A unique feature is the inclusion of different possible sources of astronomical data, as well as software packages for converting the raw data into appropriate forms for data analysis. Readers can then use the appropriate statistical packages for their particular data analysis needs. The ideas of statistical inference discussed in the book help readers determine how to apply statistical tests. The authors cover different applications of statistical techniques already developed or specifically introduced for astronomical problems, including regression techniques, along with their usefulness for data set problems related to size and dimension. Analysis of missing data is an important part of the book because of its significance for work with astronomical data. Both existing and new techniques related to dimension reduction and clustering are illustrated through examples. There is detailed coverage of applications useful for classification, discrimination, data mining and time series analysis. Later chapters explain simulation techniques useful for the development of physical models where it is difficult or impossible to collect data. Finally, coverage of the many R programs for techniques discussed makes this book a fantastic practical reference. Readers may apply what they learn directly to their data sets in addition to the data sets included by the authors.

More books from Springer New York

Cover of the book The Cinematic Mirror for Psychology and Life Coaching by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
Cover of the book Challenging Cases in Pulmonology by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
Cover of the book Weird Astronomy by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
Cover of the book Proceedings of the Fourth Seattle Symposium in Biostatistics: Clinical Trials by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
Cover of the book Atlas of Spleen Pathology by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
Cover of the book The Formation and Evolution of M33 as Revealed by Its Star Clusters by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
Cover of the book Recommender Systems for Learning by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
Cover of the book Obesity and Fertility by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
Cover of the book Systems Biology of Parkinson's Disease by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
Cover of the book Plasma Astrophysics, Part II by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
Cover of the book Stochastic Tools in Mathematics and Science by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
Cover of the book Growth Hormone II by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
Cover of the book Continuum Mechanics of Anisotropic Materials by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
Cover of the book Nephrology Forum by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
Cover of the book Derivatives of Inner Functions by Asis Kumar Chattopadhyay, Tanuka Chattopadhyay
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy